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Background: Electronic cigarette (ECIG) use has become a popular method for nicotine delivery. Combustible cigarette (CC) cessation or reduction are the primary reasons for ECIG uptake among adults. Yet, most CC smokers who initiate ECIG use do not fully transition from CC to ECIG, despite intending to quit CC completely. Retraining approach bias, or the approach action tendency toward stimuli related to the substance of interest, has been effective in alcohol and CC use treatments. However, approach bias retraining for both CC and (ECIG) users has not been explored. Therefore, the objective of the study is to evaluate the initial efficacy of approach bias retraining among dual CC and ECIG users.
Methods: Eligible dual CC/ECIG using adults (N = 90) will complete a phone-screener, baseline assessment, 4 treatment sessions over 2 weeks, ecological momentary assessments (EMAs) post-intervention, and follow-ups at 4- and 6-week post-intervention. Participants will be assigned to one of three conditions at baseline: (1) CC + ECIG retraining; (2) CC only retraining; and (3) sham retraining. Participants will engage in a self-guided quit attempt to abstain from all nicotine products starting at treatment session 4.
Conclusions: The study may lead to a more effective treatment for at-risk nicotine users while simultaneously isolating explanatory mechanisms. The findings should guide advances in the theoretical conceptualization of nicotine addiction for dual users and mechanisms involved in maintaining and abstaining from CC and ECIG, and provide initial effect size data for a brief intervention, thus providing necessary data for a large-scale follow-up trial. Clinical Trials ID: NCT05306158.
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http://dx.doi.org/10.1016/j.cct.2023.107145 | DOI Listing |
J Lat Psychol
July 2025
Population Research Center, University of Texas at Austin, College of Liberal Arts, 305 E. 23rd Street, Austin, TX, 78712.
The present study had two aims: (a) to take a person-centered approach and identify profiles of assets that include active coping, bicultural competency, and preparation for bias, among Latinx adolescents, and (b) examine the relations between asset profiles and Latinx adolescents' school functioning and mental health. The present study used cross-sectional data from 201 middle school students ( = 12.35, = 1.
View Article and Find Full Text PDFFront Neurosci
August 2025
Acoustics Research Institute, Austrian Academy of Sciences, Vienna, Austria.
Introduction: Spatial hearing enables both voluntary localization of sound sources and automatic monitoring of the surroundings. The auditory looming bias (ALB), characterized by the prioritized processing of approaching (looming) sounds over receding ones, is thought to serve as an early hazard detection mechanism. The bias could theoretically reflect an adaptation to the low-level acoustic properties of approaching sounds, or alternatively necessitate the sound to be localizable in space.
View Article and Find Full Text PDFJ Appl Stat
February 2025
Department of Mathematics & Statistics, International Islamic University, Islamabad, Pakistan.
Adaptive cluster sampling is particularly helpful whenever the target population is unique, dispersed unevenly, concealed or difficult to find. In the current investigation, under an adaptive cluster sampling approach, we propose a ratio-product-logarithmic type estimator employing a single auxiliary variable for the estimation of finite population variance. The bias and mean square error of the proposed estimator are developed by using simulation as well as real data sets.
View Article and Find Full Text PDFJ Appl Stat
February 2025
RBS, International University of Rabat, Technopolis, Sala-Al-Jadida, Morocco.
The paper first highlights important drawbacks and biases related to the common use of time-rescaling to assess the goodness-of-fit (Gof) of self-exciting temporal point process (SETPP) models. Then it presents a new predictive time-rescaling approach leading to an asymptotically unbiased Gof framework for general SETPPs in the case of single observed trajectories. The predictive approach focuses on forecasting accuracy and addresses the bias problem resulting from the plugged-in estimated parameters.
View Article and Find Full Text PDFEcol Evol
September 2025
MPG Ranch Florence Montana USA.
DNA fecal metabarcoding has revolutionized the field of herbivore diet analyses, offering deeper insight into plant-herbivore interactions and more reliable ecological inferences. However, due to PCR amplification bias, primer selection has a major impact on the validity of these inferences and insights. Using two pooling approaches on four mock communities and a case study examining diets of four large mammalian herbivores (LMH), we evaluated the efficacy of two primer pairs targeting the internal transcribed spacer 2 (ITS2) region: the widely used ITS-S2F/ITS4 pair and the UniPlant F/R pair, designed specifically for DNA metabarcoding.
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